Triple
T7237388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dundas County |
E155263
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Williamsburg
Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
|
E650695
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Williamsburg | Statement: [Dundas County, containsSettlement, Williamsburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamsburg Context triple: [Dundas County, containsSettlement, Williamsburg]
-
A.
Williamsburg
Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
-
B.
Williamsburg
Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
-
C.
Charles City
Charles City is a small northeastern Iowa community known historically as a manufacturing and transportation hub along the Cedar River.
-
D.
Roanoke
Roanoke is a city in Denton County, Texas, known for its family-friendly attractions, including the Hawaiian Falls water park and a vibrant dining scene.
-
E.
Hampton
Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Williamsburg Triple: [Dundas County, containsSettlement, Williamsburg]
Generated description
Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Williamsburg Target entity description: Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
-
A.
Williamsburg
Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
-
B.
Williamsburg
Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
-
C.
Charles City
Charles City is a small northeastern Iowa community known historically as a manufacturing and transportation hub along the Cedar River.
-
D.
Roanoke
Roanoke is a city in Denton County, Texas, known for its family-friendly attractions, including the Hawaiian Falls water park and a vibrant dining scene.
-
E.
Hampton
Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea355e888190a97de097158933ca |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc381a4081909a8ea7ee02348328 |
completed | March 28, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69c7cda71c088190afe117d8d3ff04ab |
completed | March 28, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ce1b5e0081908d8e68fb1c0bfd3e |
completed | March 28, 2026, 12:48 p.m. |
Created at: March 27, 2026, 2:55 p.m.